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Unsupervised Co-Learning on $\mathcal{G}$-Manifolds Across Irreducible Representations


Jun 29, 2019
Yifeng Fan, Tingran Gao, Zhizhen Zhao


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Representation Theoretic Patterns in Multi-Frequency Class Averaging for Three-Dimensional Cryo-Electron Microscopy


May 31, 2019
Tingran Gao, Yifeng Fan, Zhizhen Zhao

* 31 pages, 10 figures 

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SelectNet: Learning to Sample from the Wild for Imbalanced Data Training


May 23, 2019
Yunru Liu, Tingran Gao, Haizhao Yang


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Uniform-in-Time Weak Error Analysis for Stochastic Gradient Descent Algorithms via Diffusion Approximation


Feb 02, 2019
Yuanyuan Feng, Tingran Gao, Lei Li, Jian-Guo Liu, Yulong Lu

* 17 pages, 2 figures 

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Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds


Sep 06, 2018
Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans

* 12 pages 

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Gaussian Process Landmarking on Manifolds


Jul 28, 2018
Tingran Gao, Shahar Z. Kovalsky, Ingrid Daubechies

* 25 pages, 2 figures 

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Curvature of Hypergraphs via Multi-Marginal Optimal Transport


Mar 22, 2018
Shahab Asoodeh, Tingran Gao, James Evans


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A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with Convolution Framelets


Sep 12, 2016
Rujie Yin, Tingran Gao, Yue M. Lu, Ingrid Daubechies


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Hypoelliptic Diffusion Maps I: Tangent Bundles


Mar 17, 2015
Tingran Gao

* 80 pages, 6 figures 

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